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20112023
most citedThe Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines

124 citations · 1.2k across the 61 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CY2019★ 22 cited

Beyond content analysis: Detecting targeted ads via distributed counting

Costas Iordanou, Nicolas Kourtellis, Juan Miguel Carrascosa +3

Being able to check whether an online advertisement has been targeted is essential for resolving privacy controversies and implementing in practice data protection regulations like…

cs.SI2019

Detecting Cyberbullying and Cyberaggression in Social Media

Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn +4

Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting people across all demographics. More than half of young social media users worldwide have been expo…

cs.CR2019★ 7 cited

Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem

Konstantinos Solomos, Panagiotis Ilia, Sotiris Ioannidis +1

Websites are constantly adapting the methods used, and intensity with which they track online visitors. However, the wide-range enforcement of GDPR since one year ago (May 2018) fo…

cs.CY2019★ 5 cited

No More Chasing Waterfalls: A Measurement Study of the Header Bidding Ad-Ecosystem

Michalis Pachilakis, Panagiotis Papadopoulos, Evangelos P. Markatos +1

In recent years, Header Bidding (HB) has gained popularity among web publishers, challenging the status quo in the ad ecosystem. Contrary to the traditional waterfall standard, HB…

cs.CR2019★ 4 cited

YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy

Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris +2

The Real Time Bidding (RTB) protocol is by now more than a decade old. During this time, a handful of measurement papers have looked at bidding strategies, personal information flo…

cs.CL2019

A Self-Attentive Emotion Recognition Network

Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis +2

Modern deep learning approaches have achieved groundbreaking performance in modeling and classifying sequential data. Specifically, attention networks constitute the state-of-the-a…

cs.SI2019★ 2 cited

Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children

Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou +5

A large number of the most-subscribed YouTube channels target children of a very young age. Hundreds of toddler-oriented channels on YouTube feature inoffensive, well-produced, and…